class_docstr: Computes the forward decoding in a linear-chain CRF.
code: def from_config(cls, config: dict) -> "CrfDecodeForwardRnnCell":
      config["transition_params"] = np.array(
          config["transition_params"], dtype=np.float32
      )
      return cls(**config)
  
imports: import warnings
  import numpy
  import tensorflow
  from tensorflow_addons.rnn.abstract_rnn_cell import AbstractRNNCell
  from tensorflow_addons.utils.types import TensorLike
  from typeguard import typechecked
  from typing import Optional, Tuple
label_desc: Use image node_id 7 for calling the CrfDecodeForwardRnnCell obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: cls